Electrochemical and Optical Multi-Detection of Escherichia coli Through Magneto-Optic Nanoparticles: A Pencil-on-Paper Biosensor

<i>Escherichia coli (E. coli)</i> detection suffers from slow analysis time and high costs, along with the need for specificity. While state-of-the-art electrochemical biosensors are cost-efficient and easy to implement, their sensitivity and analysis time still require improvement. In this work, we present a paper-based electrochemical biosensor utilizing magnetic core-shell Fe<sub>2</sub>O<sub>3</sub>@CdSe/ZnS quantum dots (MQDs) to achieve fast detection, low cost, and high sensitivity. Using electrochemical impedance spectroscopy (EIS) as the detection technique, the biosensor achieved a limit of detection of 2.7 × 10<sup>2</sup> CFU/mL for <i>E. coli</i> bacteria across a concentration range of 10<sup>2</sup>-10<sup>8</sup> CFU/mL, with a relative standard deviation (RSD) of 3.5781%. From an optical perspective, as <i>E. coli</i> concentration increased steadily from 10<sup>4</sup> to 10<sup>7</sup> CFU/mL, quantum dot fluorescence showed over 60% lifetime quenching. This hybrid biosensor thus provides rapid, highly sensitive <i>E. coli</i> detection with a fast analysis time of 30 min. This study, which combines the detection advantages of electrochemical and optical biosensor systems in a graphite-based paper sensor for the first time, has the potential to meet the needs of point-of-care applications. It is thought that future studies that will aim to examine the performance of the production-optimized, portable, graphite-based sensor system on real food samples, environmental samples, and especially medical clinical samples will be promising.

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Publication Details

Journal
Biosensors
Published
2024-12-10
DOI
https://doi.org/10.3390/bios14120603
Citations
5
Primary Topic
Biosensors and Analytical Detection
Type
article
Field-Weighted Citation Impact
0.92

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article

Electrochemical and Optical Multi-Detection of Escherichia coli Through Magneto-Optic Nanoparticles: A Pencil-on-Paper Biosensor

Derya Dinçyürek Ekici, Furkan Soysaldı, Evren Mutlugün, Mehmet Çağrı Soylu
5 citations
Biosensors
Biosensors and Analytical Detection
0.92
article

Electrochemical and Optical Multi-Detection of Escherichia coli Through Magneto-Optic Nanoparticles: A Pencil-on-Paper Biosensor

Derya Dinçyürek Ekici, Furkan Soysaldı, Evren Mutlugün, Mehmet Çağrı Soylu
article en
5 citations

Abstract

<i>Escherichia coli (E. coli)</i> detection suffers from slow analysis time and high costs, along with the need for specificity. While state-of-the-art electrochemical biosensors are cost-efficient and easy to implement, their sensitivity and analysis time still require improvement. In this work, we present a paper-based electrochemical biosensor utilizing magnetic core-shell Fe<sub>2</sub>O<sub>3</sub>@CdSe/ZnS quantum dots (MQDs) to achieve fast detection, low cost, and high sensitivity. Using electrochemical impedance spectroscopy (EIS) as the detection technique, the biosensor achieved a limit of detection of 2.7 × 10<sup>2</sup> CFU/mL for <i>E. coli</i> bacteria across a concentration range of 10<sup>2</sup>-10<sup>8</sup> CFU/mL, with a relative standard deviation (RSD) of 3.5781%. From an optical perspective, as <i>E. coli</i> concentration increased steadily from 10<sup>4</sup> to 10<sup>7</sup> CFU/mL, quantum dot fluorescence showed over 60% lifetime quenching. This hybrid biosensor thus provides rapid, highly sensitive <i>E. coli</i> detection with a fast analysis time of 30 min. This study, which combines the detection advantages of electrochemical and optical biosensor systems in a graphite-based paper sensor for the first time, has the potential to meet the needs of point-of-care applications. It is thought that future studies that will aim to examine the performance of the production-optimized, portable, graphite-based sensor system on real food samples, environmental samples, and especially medical clinical samples will be promising.

BiosensorsVol. 14(12)
Nevşehir Hacı Bektaş Veli University (TR), Bilkent University (TR), Sensors (United States) (US), Erciyes University (TR), Abdullah Gül University (TR)
Türkiye Bilimsel ve Teknolojik Araştırma Kurumu
Responsible consumption and production, Zero hunger
Openalex Percentile: Top 27%
Biosensors and Analytical Detection
0.92
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